scholarly journals Training institutes and training in official statistics in Africa: An overview

2021 ◽  
Vol 37 (3) ◽  
pp. 835-851
Author(s):  
Hugues Kouassi Kouadio
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Current Situation ◽  
Official Statistics ◽  
Statistical Literacy ◽  
The Face ◽  
Technological Developments ◽  
Language Areas ◽  
University Training ◽  
And Training

The training offer of official statistics in statistical training institutes has been constantly evolving as it adapts to the statistical environment and technological developments. Based on a literature review and the mobilisation of curricula and programmes offered by statistical training centres in Africa, this paper presents the current situation of training in official statistics as well as the challenges to be faced. Despite harmonisation efforts, there are still differences between language areas and training types. Engineer and vocational statistical training are better suited to the needs of National Statistical Institutes than university training. It is essential that the training of statisticians is strategically thought out so that they can be reactive and dynamic in the face of changes and upheavals they will be confronted with in the context of data revolution and big data. Their training should reinforce the statistical literacy dimension with a view to reducing the gap between producers and users.

Important Employment Factors of MICE Talents in Taiwan

2020 ◽  
Vol 10 (2) ◽  
pp. 35-47
Author(s):  
Pei-Ying Wu
Keyword(s):  
Literature Review ◽  
Focus Of Attention ◽  
Current Situation ◽  
Hotel Management ◽  
Employment Factors ◽  
Mice Industry ◽  
Tourism Service ◽  
Set Up ◽  
The Impact ◽  
And Training

MICE—Meeting, Incentive, Convention, and Exhibition—is also called the MICE Industry. The development of the MICE industry not only affects its surrounding industries, but also Taiwan's universities have gradually set up departments related to the MICE industry, such as exhibition, conference, sightseeing, hospitality, leisure, hotel, hotel management, tourism service, tour guide, etc. to train talents. Therefore, the education and training of tourism and MICE professionals has become the focus of attention in the industry currently. This study analyzed the current situation of the MICE industry and the impact of Taiwan's MICE education on MICE talents based on the literature review, with the aim of integrating the current situation of Taiwan's MICE industry and clarifying the current situation of MICE education and talents in Taiwan.

Getting the foundations right

2021 ◽  
pp. 1-11
Author(s):  
Helen MacGillivray
Keyword(s):  
Big Data ◽  
Data Science ◽  
Authentic Learning ◽  
Educational Resources ◽  
Technological Capabilities ◽  
Data Types ◽  
Official Statistics ◽  
Statistical Literacy ◽  
2030 Agenda ◽  
Access To Data

There has been increasing interest in recent years in training in official statistics with reference to the 2030 Agenda, big data, diversification of data types and sources, and data science. Backgrounds for work in official statistics are becoming more varied than ever. The official statistics community has also become progressively more aware of the importance of statistical literacy in education and trust in official statistics. Hence foundation and introductory are of as much interest to official statistics as more specialised training. At the same time, greater access to data and vast technological capabilities has seen much emphasis and discussion of the statistical and data sciences and education therein, including development of educational resources in contexts such as civic data and statistics. Data science provides opportunities to renew the decades-long push for authentic learning that reflects the practice of ‘greater statistics’ and ‘greater data science’, and to examine progress to date in implementing and sustaining the extensive work and advocacy of many. This article discusses what is needed at the foundation and introductory levels to realize this advocacy, with commentary relevant to official statistics.

scholarly journals Alright? - Common Understanding on the Already Applied Industry 4.0 Solutions, Between the Hungarian Beer Industry Suppliers and Multinational Beer Makers

2020 ◽  
Author(s):  
Ilona Papp ◽  
Istvan Pesti-Farkas
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Literature Review ◽  
Industry 4.0 ◽  
Multinational Companies ◽  
Current Situation ◽  
Beer Industry ◽  
Common Understanding

Our paper is aimed to analyze the current situation on the Hungarian beer industry, from the aspect of industry 4.0 understanding within the supply chain, namely between the manufacturers and their suppliers. After a literature review, we had examined the big data, the robotics and the overall digitalization related attitudes and understandings. The key finding is that the multinational companies have to deal with a previously unrecognized problem, namely the prejudices of local suppliers in regards the innovation of industry 4.0 tools.

Knowledge Discovery and Data Visualization

2017 ◽  
Vol 7 (3) ◽  
pp. 56-69 ◽  
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Knowledge Discovery ◽  
Data Visualization ◽  
Knowledge Discovery In Databases ◽  
Statistical Literacy ◽  
Textual Databases ◽  
Literacy Knowledge ◽  
Hidden Knowledge ◽  
The Way

This article reviews the literature in the search for the theories and perspectives of knowledge discovery and data visualization. The literature review highlights the overview of knowledge discovery; Knowledge Discovery in Databases (KDD); Knowledge Discovery in Textual Databases (KDT); the overview of data visualization; the significant perspectives on data visualization; data visualization and big data; and data visualization and statistical literacy. Knowledge discovery is the process of searching for hidden knowledge in the massive amounts of data that individuals are technically capable of generating and storing. Data visualization is an easy way to convey concepts in a universal manner. Organizations, that utilize knowledge discovery and data visualization, are more likely to find both knowledge and information they need when they need them. The findings present valuable insights and further understanding of the way in which knowledge discovery and data visualization efforts should be focused.

Effect of Computerized Auditory Training on Speech Perception of Adults With Hearing Impairment

2013 ◽  
Vol 20 (3) ◽  
pp. 91-106 ◽  
Author(s):  
Rachel Pizarek ◽  
Valeriy Shafiro ◽  
Patricia McCarthy
Keyword(s):  
Hearing Loss ◽  
Speech Perception ◽  
Literature Review ◽  
Low Cost ◽  
Experimental Designs ◽  
Auditory Training ◽  
Hearing Impairments ◽  
Communicative Disorders ◽  
And Training

Computerized auditory training (CAT) is a convenient, low-cost approach to improving communication of individuals with hearing loss or other communicative disorders. A number of CAT programs are being marketed to patients and audiologists. The present literature review is an examination of evidence for the effectiveness of CAT in improving speech perception in adults with hearing impairments. Six current CAT programs, used in 9 published studies, were reviewed. In all 9 studies, some benefit of CAT for speech perception was demonstrated. Although these results are encouraging, the overall quality of available evidence remains low, and many programs currently on the market have not yet been evaluated. Thus, caution is needed when selecting CAT programs for specific patients. It is hoped that future researchers will (a) examine a greater number of CAT programs using more rigorous experimental designs, (b) determine which program features and training regimens are most effective, and (c) indicate which patients may benefit from CAT the most.

Recommendations for Medical Informatics Training in The Netherlands

1994 ◽  
Vol 33 (03) ◽  
pp. 308-311 ◽  
Author(s):  
A. Hasman
Keyword(s):  
The Netherlands ◽  
Medical Informatics ◽  
Education And Training ◽  
Current Situation ◽  
Arts And Sciences ◽  
Informatics Training ◽  
Royal Netherlands Academy ◽  
And Training

Abstract:In this contribution recommendations for education and training in Medical Informatics as they have been formulated end 1987 by the Subcommittee Medical Informatics of the Royal Netherlands Academy of Arts and Sciences are described. The current situation of education and training is presented and compared with the recommendations. It is concluded that not all recommendations have yet been followed up.

Current Situation and Training Strategy of Rehabilitation Nurses in China

2015 ◽  
Vol 25 (3) ◽  
pp. 58
Author(s):  
Zhuangmiao LI ◽  
Hongjia ZHAO ◽  
Fang LIU ◽  
Shuqin PANG ◽  
Liwei ZHENG ◽  
...  
Keyword(s):  
Current Situation ◽  
Training Strategy ◽  
And Training

Trends and Opportunities in Health Analytics as a Service and Implications for Use in Low Resource Settings: A Literature Review Abstract (Preprint)

2019 ◽  
Author(s):  
Meghana Bastwadkar ◽  
Carolyn McGregor ◽  
S Balaji
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Intensive Care ◽  
Literature Review ◽  
Health Monitoring ◽  
Data Analytics ◽  
Neonatal Intensive Care ◽  
Big Data Analytics ◽  
Healthcare Facilities

BACKGROUND This paper presents a systematic literature review of existing remote health monitoring systems with special reference to neonatal intensive care (NICU). Articles on NICU clinical decision support systems (CDSSs) which used cloud computing and big data analytics were surveyed. OBJECTIVE The aim of this study is to review technologies used to provide NICU CDSS. The literature review highlights the gaps within frameworks providing HAaaS paradigm for big data analytics METHODS Literature searches were performed in Google Scholar, IEEE Digital Library, JMIR Medical Informatics, JMIR Human Factors and JMIR mHealth and only English articles published on and after 2015 were included. The overall search strategy was to retrieve articles that included terms that were related to “health analytics” and “as a service” or “internet of things” / ”IoT” and “neonatal intensive care unit” / ”NICU”. Title and abstracts were reviewed to assess relevance. RESULTS In total, 17 full papers met all criteria and were selected for full review. Results showed that in most cases bedside medical devices like pulse oximeters have been used as the sensor device. Results revealed a great diversity in data acquisition techniques used however in most cases the same physiological data (heart rate, respiratory rate, blood pressure, blood oxygen saturation) was acquired. Results obtained have shown that in most cases data analytics involved data mining classification techniques, fuzzy logic-NICU decision support systems (DSS) etc where as big data analytics involving Artemis cloud data analysis have used CRISP-TDM and STDM temporal data mining technique to support clinical research studies. In most scenarios both real-time and retrospective analytics have been performed. Results reveal that most of the research study has been performed within small and medium sized urban hospitals so there is wide scope for research within rural and remote hospitals with NICU set ups. Results have shown creating a HAaaS approach where data acquisition and data analytics are not tightly coupled remains an open research area. Reviewed articles have described architecture and base technologies for neonatal health monitoring with an IoT approach. CONCLUSIONS The current work supports implementation of the expanded Artemis cloud as a commercial offering to healthcare facilities in Canada and worldwide to provide cloud computing services to critical care. However, no work till date has been completed for low resource setting environment within healthcare facilities in India which results in scope for research. It is observed that all the big data analytics frameworks which have been reviewed in this study have tight coupling of components within the framework, so there is a need for a framework with functional decoupling of components.

External sources promoting resilience in adults with intellectual disabilities: A systematic literature review

2020 ◽  
pp. 174462952096194 ◽  
Author(s):  
Femke Scheffers ◽  
Xavier Moonen ◽  
Eveline van Vugt
Keyword(s):  
Social Network ◽  
Literature Review ◽  
Intellectual Disabilities ◽  
Positive Emotions ◽  
Network Support ◽  
Increased Risk ◽  
The Social ◽  
The Face ◽  
External Sources ◽  
Adults With Intellectual Disabilities

Background: Persons with an intellectual disability are at increased risk of experiencing adversities. The current study aims at providing an overview of the research on how resilience in adults with intellectual disabilities, in the face of adversity, is supported by sources in their social network. Method: A literature review was conducted in the databases Psycinfo and Web of Science. To evaluate the quality of the included studies, the Mixed Method Appraisal Tool (MMAT) was used. Results: The themes: “ positive emotions,” “ network acceptance,” “ sense of coherence” and “ network support,” were identified as sources of resilience in the social network of the adults with intellectual disabilities. Conclusion: The current review showed that research addressing sources of resilience among persons with intellectual disabilities is scarce. In this first overview, four sources of resilience in the social network of people with intellectual disabilities were identified that interact and possibly strengthen each other.

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